The ratio of non-synonymous to synonymous mRNA variations varies among cancer types.
A much more robust approach to measure mRNA variation, known as allelic expression imbalance (AI), removes this noise by comparing expression levels of the two alleles originating from the same individual in samples heterozygous for a transcribed SNP.
Here we developed a statistical framework to infer the activity changes of transcription factors by simultaneously taking into account the contributions of genetic and epigenetic alterations to mRNA expression variations.
In this paper, we first quantified the contributions to differential expression from two sources of variation – strain and sex – and secondly, provided evidence suggesting that variation in transcript structure contributes significantly to mRNA expression variation.
The variation of Bt toxins has been previously linked to environmental conditions and genetic background [79, 80], but the reason remains unclear and might be linked to mRNA instability, variation in promoter activity, reduction in protein expression and protein protein interactions [42, 73].
We find that the mRNA species with the highest number of actively translating ribosomes exerts maximum control on the synthesis of every protein, and the response of protein synthesis rates to mRNA expression variation is a function of the strength of initiation of translation at different mRNA species.
We thus compared protein abundance [an expression proxy taken from Ghaemmaghami et al., [ 30]] to mRNA expression variation.
The tissue localization of PrSCL2, PrSCL10 and PrSCL12 mRNAs would help to show the roles of their mRNA variations in adventitious rooting.
A housekeeper gene was used to correct for the absolute amounts of total mRNA variations between different samples.
Indeed, little is known about natural mRNA variations occurring over more than 6 months, and which mRNAs may correlate to observable clinical features before, during, and after a MDE.
